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A Fully Self‐Powered Wearable Leg Movement Sensing System for Human Health Monitoring

Energy‐autonomous wearable human activity monitoring is imperative for daily healthcare, benefiting from long‐term sustainable uses. Herein, a fully self‐powered wearable system, enabling real‐time monitoring and assessments of human multimodal health parameters including knee joint movement, metabo...

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Detalles Bibliográficos
Autores principales: Yuan, Jinfeng, Zhang, Yuzhong, Wei, Caise, Zhu, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582417/
https://www.ncbi.nlm.nih.gov/pubmed/37590377
http://dx.doi.org/10.1002/advs.202303114
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author Yuan, Jinfeng
Zhang, Yuzhong
Wei, Caise
Zhu, Rong
author_facet Yuan, Jinfeng
Zhang, Yuzhong
Wei, Caise
Zhu, Rong
author_sort Yuan, Jinfeng
collection PubMed
description Energy‐autonomous wearable human activity monitoring is imperative for daily healthcare, benefiting from long‐term sustainable uses. Herein, a fully self‐powered wearable system, enabling real‐time monitoring and assessments of human multimodal health parameters including knee joint movement, metabolic energy, locomotion speed, and skin temperature, which are fully self‐powered by highly‐efficient flexible thermoelectric generators (f‐TEGs) is proposed and developed. The wearable system is composed of f‐TEGs, fabric strain sensors, ultra‐low‐power edge computing, and Bluetooth. The f‐TEGs worn on the leg not only harvest energy from body heat and supply power sustainably for the whole monitoring system, but also serve as zero‐power motion sensors to detect limb movement and skin temperature. The fabric strain sensor made by printing PEDOT: PSS on pre‐stretched nylon fiber‐wrapped rubber band enables high‐fidelity and ultralow‐power measurements on highly‐dynamic knee movements. Edge computing is elaborately designed to estimate multimodal health parameters including time‐varying metabolic energy in real‐time, which are wirelessly transmitted via Bluetooth. The whole monitoring system is operated automatically and intelligently, works sustainably in both static and dynamic states, and is fully self‐powered by the f‐TEGs.
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spelling pubmed-105824172023-10-19 A Fully Self‐Powered Wearable Leg Movement Sensing System for Human Health Monitoring Yuan, Jinfeng Zhang, Yuzhong Wei, Caise Zhu, Rong Adv Sci (Weinh) Research Articles Energy‐autonomous wearable human activity monitoring is imperative for daily healthcare, benefiting from long‐term sustainable uses. Herein, a fully self‐powered wearable system, enabling real‐time monitoring and assessments of human multimodal health parameters including knee joint movement, metabolic energy, locomotion speed, and skin temperature, which are fully self‐powered by highly‐efficient flexible thermoelectric generators (f‐TEGs) is proposed and developed. The wearable system is composed of f‐TEGs, fabric strain sensors, ultra‐low‐power edge computing, and Bluetooth. The f‐TEGs worn on the leg not only harvest energy from body heat and supply power sustainably for the whole monitoring system, but also serve as zero‐power motion sensors to detect limb movement and skin temperature. The fabric strain sensor made by printing PEDOT: PSS on pre‐stretched nylon fiber‐wrapped rubber band enables high‐fidelity and ultralow‐power measurements on highly‐dynamic knee movements. Edge computing is elaborately designed to estimate multimodal health parameters including time‐varying metabolic energy in real‐time, which are wirelessly transmitted via Bluetooth. The whole monitoring system is operated automatically and intelligently, works sustainably in both static and dynamic states, and is fully self‐powered by the f‐TEGs. John Wiley and Sons Inc. 2023-08-17 /pmc/articles/PMC10582417/ /pubmed/37590377 http://dx.doi.org/10.1002/advs.202303114 Text en © 2023 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Yuan, Jinfeng
Zhang, Yuzhong
Wei, Caise
Zhu, Rong
A Fully Self‐Powered Wearable Leg Movement Sensing System for Human Health Monitoring
title A Fully Self‐Powered Wearable Leg Movement Sensing System for Human Health Monitoring
title_full A Fully Self‐Powered Wearable Leg Movement Sensing System for Human Health Monitoring
title_fullStr A Fully Self‐Powered Wearable Leg Movement Sensing System for Human Health Monitoring
title_full_unstemmed A Fully Self‐Powered Wearable Leg Movement Sensing System for Human Health Monitoring
title_short A Fully Self‐Powered Wearable Leg Movement Sensing System for Human Health Monitoring
title_sort fully self‐powered wearable leg movement sensing system for human health monitoring
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582417/
https://www.ncbi.nlm.nih.gov/pubmed/37590377
http://dx.doi.org/10.1002/advs.202303114
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